Verkäufer
New Legacy Books, Annandale, NJ, USA
Verkäuferbewertung 5 von 5 Sternen
AbeBooks-Verkäufer seit 3. März 2017
Fast shipping and order satisfaction guaranteed. A portion of your purchase benefits Non-Profit Organizations, First Aid and Fire Stations! Bestandsnummer des Verkäufers 5FSZKJ000GGV_ns
A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence
Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study of genomes, extra-solar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene.
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artifical and natural intelligence. Might the same math underpin them both?
As Ananthaswamy resonantly concludes, to make safe and effective use of artificial intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes machine learning possible.
Über die Autorin bzw. den Autor: Anil Ananthaswamy is an award-winning science writer and former staff writer and deputy news editor for New Scientist. He is the author of several popular science books including The Man Who Wasn’t There, which was long-listed for the Pen/E. O. Wilson Literary Science Writing Award. He was a 2019-20 MIT Knight Science Journalism Fellow and the recipient of the Distinguished Alum Award, the highest award given by IIT-Madras to its graduates, for his contributions to science writing.
Titel: Why Machines Learn: The Elegant Math Behind ...
Verlag: Dutton
Erscheinungsdatum: 2024
Einband: Hardcover
Zustand: VeryGood
Anbieter: Lakeside Books, Benton Harbor, MI, USA
Zustand: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! Bestandsnummer des Verkäufers OTF-S-9780593185742
Anzahl: Mehr als 20 verfügbar
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New. Bestandsnummer des Verkäufers 46282378-n
Anzahl: Mehr als 20 verfügbar
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 46282378
Anzahl: Mehr als 20 verfügbar
Anbieter: INDOO, Avenel, NJ, USA
Zustand: New. Bestandsnummer des Verkäufers 9780593185742
Anzahl: 20 verfügbar
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Hardback or Cased Book. Zustand: New. Why Machines Learn: The Elegant Math Behind Modern AI 1.45. Book. Bestandsnummer des Verkäufers BBS-9780593185742
Anzahl: 5 verfügbar
Anbieter: Russell Books, Victoria, BC, Kanada
hardcover. Zustand: New. Special order direct from the distributor. Bestandsnummer des Verkäufers ING9780593185742
Anzahl: Mehr als 20 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Anil Ananthaswamy is an award-winning science writer and a former staff writer and deputy news editor for New Scientist. He is the author of several popular science books, including The Man Who Wasn&rsquot There, which was longlisted f. Bestandsnummer des Verkäufers 1095792512
Anzahl: Mehr als 20 verfügbar
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. Bestandsnummer des Verkäufers 26396076974
Anzahl: 3 verfügbar
Anbieter: California Books, Miami, FL, USA
Zustand: New. Bestandsnummer des Verkäufers I-9780593185742
Anzahl: Mehr als 20 verfügbar
Anbieter: Grand Eagle Retail, Fairfield, OH, USA
Hardcover. Zustand: new. Hardcover. A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physicsthe study of genomes, extrasolar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene. We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artificial and natural intelligence. Might the same math underpin them both? As Ananthaswamy resonantly concludes, to make safe and effective use of artificial intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes machine learning possible. "A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9780593185742
Anzahl: 1 verfügbar